The anti-trickster at play: Representing First Nations artists and art in the art galleries and museums of northern British Columbia.
Bibliographic record
Abstract
First Nations artists in Canada are currently engaged in a struggle to challenge a colonialist system which has largely ignored, rejected and minimized their contributions to the mainstream Canadian art discourse and society. The attempt to engage in this discourse is not the only issue here, but also a peoples' attempt to communicate inconsistencies and weaknesses in contemporary Canadian society that continue to erode the movement toward a just and equal reality. A central area of turmoil is the public art galleries and museums as they have recently begun to deconstruct and redefine themselves since many of them have been challenged to address a colonialist system of oppression and destruction which they have contributed to and maintained. These are significant and pervasive sites in Canadian society with social, political and economic responsibilities to the communities in which they are situated. As a result, some of these art galleries and museums, through their work of programming and collecting, have actively engaged with the First Nation's struggle to revitalize and strengthen their cultural autonomy.--P.ii.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.048 | 0.013 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".